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. 2018 Sep 12;7:62. doi: 10.1038/s41377-018-0063-4

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© The Author(s) 2018

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 3 — The wireless sensing system was deployed outdoors to monitor the variation of the air temperature from 8:30 AM to 8:30 PM on June 18th, 2017 in St. Louis, MO, USA. The red circles denote the frequency shift of the selected resonance mode versus time, and the blue squares are the measurements of the temperature change by a commercial thermometer. The inset shows a linear dependence of the resonance frequency shift on the temperature change, where the blue squares denote experimental measurements and the black dashed curve is a linear fit of the experimental results